APPLICATION OF PARALLEL PROCESSING - A CASE STUDY IN IMAGE PROCESSING Jannatul Ajilah Hamdan #1, Mohamed Faidz Mohamed Said #2 # Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA 70300 Seremban, Negeri Sembilan, MALAYSIA 1 jilahamdan@gmail.com 2 faidzms@ieee.org Abstract—In computers, parallel preparing is the handling of program guidelines by separating them among various processors with the target of running a program in less time. In the most punctual personal computers (PCs), just a single program kept running at once. A computation-intensive program that took one hour to run and a tape duplicating program that took one hour to run would take a sum of two hours to run. An early form of parallel processing allowed the interleaved execution of both programs together. There are different studies related to parallel computing and one of them is image processing. The reason for this investigation is to investigate how parallel processing would help in the arrangement of picture preparing. Image processing has been the rapidly developing area and a promising field for analysis. Medicinal imaging, satellite imaging and military intention are those different fields that particular sort of images is prepared for. It is expected that by using parallel processing in image processing, it can speed up the time and decreased cost. Keyword: image, processing, parallel, computing, digital REFERENCES [1] Techopedia.com. What is Parallel Processing? - Definition from Techopedia. Available: https://www.techopedia.com/definition/4598/parallel-processing [2] Engineers Garage. Introduction to Image Processing. Available: https://www.engineersgarage.com/articles/image-processing-tutorial-applications [3] Wikipedia, "Parallel Computing," ed. [4] S. Singh, P. Kaur, and K. Kaur, "Parallel Computing in Digital Image Processing," 2015. [5] A. Merigot and A. Petrosino, "Parallel processing for image and video processing: Issues and challenges," Parallel Computing, vol. 34, pp. 694-699, 2008. [6] P. Chalermwat, N. Alexandridis, P. Piamsa-Nga, and M. O'Connell, "Parallel image processing in heterogeneous computing network systems," in Image Processing, 1996. Proceedings., International Conference on, 1996, pp. 161-164. [7] C. Nicolescu and P. Jonker, "A data and task parallel image processing environment," Parallel Computing, vol. 28, pp. 945-965, 2002. [8] I. Skirnevskiy, A. Pustovit, and M. Abdrashitova, "Digital image processing using parallel computing based on CUDA technology," in Journal of Physics: Conference Series, 2017, p. 012152. [9] F. J. Seinstra, D. Koelma, and J.-M. Geusebroek, "A software architecture for user transparent parallel image processing," Parallel computing, vol. 28, pp. 967-993, 2002. [10] R. Petryniak, "Analysis of efficiency of parallel computing in image processing task," Czasopismo Techniczne. Mechanika, vol. 105, pp. 185-193, 2008. [11] I. K. Park, N. Singhal, M. H. Lee, S. Cho, and C. Kim, "Design and performance evaluation of image processing algorithms on GPUs," IEEE Transactions on Parallel and Distributed Systems, vol. 22, pp. 91-104, 2011. [12] Vengayil Nayana Murali1 and Rahul C2, "Image Processing Application Using Parallel Computing," International Journal of Science and Research (IJSR), vol. 5 2016 2015. [13] Y. M. Kadah, K. Z. Abd-Elmoniem, and A. A. Farag, "Parallel computation in medical imaging applications," International journal of biomedical imaging, vol. 2011, 2012. [14] C.-k. Lee and M. Hamdi, "Parallel image processing applications on a network of workstations," Parallel Computing, vol. 21, pp. 137-160, 1995. [15] J. Barbosa, J. Tavares, and A. Padilha, "Parallel image processing system on a cluster of personal computers," Vector and Parallel Processing—VECPAR 2000, pp. 439-452, 2001. [16] S. J. Simske, "Parallel processing considerations for image recognition tasks," in IS&T/SPIE Electronic Imaging, 2011, pp. 787207-787207-15. [17] E. Olmedo, J. De La Calleja, A. Benitez, M. A. Medina, and L. d. P. por Computadora, "Point to point processing of digital images using parallel computing," International Journal of Computer Science, vol. 9, pp. 251-276, 2012.